MECHREVO JIAOLONG Series
Geekbench AI Score
1938
Single Precision Score
2099
Half Precision Score
1577
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MMKOHS |
| Upload Date | July 17 2025 06:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 610M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO JIAOLONG Series |
| Motherboard | MECHREVO JIAOLONG Series-X6xR55xK |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
100% |
651
121.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
10698
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5814
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
87% |
672
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
1986
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3726
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4367
33.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3236
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11127
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16172
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9703
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2761
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2058
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.0 IPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
486
650.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (Q)
|
70% |
609
11.4 IPS |
